This is just an Excerpt from a larger document, click here to view the entire document.Concerns for Further Study
Several important caveats regarding combining data from several sources to develop statistical models, in general, and regression models, in particular, were discussed. The two most important caveats are that (1) data should only be combined when the engineering and statistical analysis support such combinations, and that (2) the statistical model should always follow reality, not the other way around. If care is not taken, an engineer might end up modeling the data and not the problem.
Also, several statistical procedures (t and F tests, AD GoF test, regression and ANOVA) have been described in some detail, and implemented, in the analysis of the illustrative data. Some procedures (e.g., AD) are discussed in-depth in other RIAC START sheets [11]. Others (e.g., t and F tests, ANOVA and regression) have been referenced in other bibliographic sources, many of them developed by and available at the RIAC [7, 8, 9, and 10]. In addition, these topics will be, in the near future, also discussed in detail in other RIAC START sheets.
